FAIR资助者试点计划：让资助者易于要求、受资助者易于产出FAIR数据
摘要
科学界日益认识到使实验数据可被机器发现、可访问、可互操作和可重用(FAIR)的重要性。认识到高质量元数据对于使数据集达到FAIR至关重要，GO FAIR倡议与研究数据联盟(Research Data Alliance, RDA)的成员发起了一系列研讨会，以鼓励创建面向机器的元数据(Metadata for Machines, M4M)，使任何自我标识的利益相关方能够定义并促进标准化、全面且可由机器操作的元数据的重用。科研资助者认识到，他们在确保实验结果符合FAIR、以及高质量元数据与精心规划的FAIR数据管理对这些目标至关重要方面发挥着重要作用。我们描述了近期一次M4M研讨会的成果，该研讨会促成了一个涉及两个国家科学资助者的试点计划：爱尔兰健康研究委员会(Health Research Board of Ireland, HRB)与荷兰卫生研究与发展组织(Netherlands Organisation for Health Research and Development, ZonMW)。这些资助机构将探索新技术，在发布征集提案时定义它们希望研究者用来标注其数据集的最小机器可操作元数据集合，使研究者能够创建此类元数据以帮助其数据达到FAIR，并制定数据管理计划以确保实验数据依据FAIR原则得到妥善管理。FAIR资助者设计设想了一个具有七个基本阶段的数据管理工作流，并公开邀请解决方案提供方参与。初始试点计划将使用出席M4M研讨会的人员已有的基于计算机的工具启动。
引用
@article{arxiv.1902.11162,
title = {The FAIR Funder pilot programme to make it easy for funders to require and for grantees to produce FAIR Data},
author = {P. Wittenburg and H. Pergl Sustkova and A. Montesanti and S. M. Bloemers and S. H. de Waard and M. A. Musen and J. B. Graybeal and K. M. Hettne and A. Jacobsen and R. Pergl and R. W. W. Hooft and C. Staiger and C. W. G. van Gelder and S. L. Knijnenburg and A. C. van Arkel and B. Meerman and M. D. Wilkinson and S-A Sansone and P. Rocca-Serra and P. McQuilton and A. N. Gonzalez-Beltran and G. J. C. Aben and P. Henning and S. Alencar and C. Ribeiro and C. R. L. Silva and L. Sayao and L. Sales and V. Veiga and J. Lima and S. Dib and P. Xavier and R. Murtinho and J. Tendel and B. F. Schaap and P. M. Brouwer and A. K. Gavai and Y. Bouzembrak and H. J. P. Marvin and A. Mons and T. Kuhn and A. A. Gambardella and R. de Miranda Azevedo and V. Muhonen and M. van der Naald and N. W. Smit and M. J. Buys and T. F. de Bruin and F. Schoots and H. J. E. Goodson and H. S. Rzepa and K. G. Jeffery and H. P. Shanahan and M. Axton and V. Tkachenko and A. D. Maya and N. K. Meyers and M. Conlon and L. L. Haak and E. A. Schultes},
journal= {arXiv preprint arXiv:1902.11162},
year = {2023}
}
备注
This is a pre-print of the FAIR Funders pilot, an outcome of the first Metadata for Machines workshop, see: https://www.go-fair.org/resources/go-fair-workshop-series/metadata-for-machines-workshops/. Corresponding author: E. A Schultes, ORCID 0000-0001-8888-635X